Juan Fernandez Ridano
I'm a senior backend engineer with over a decade of experience building and operating production systems for European enterprises and fast-moving startups across retail, logistics, streaming, banking, and IoT. My core strength is designing Java/Spring Boot and Node.js/TypeScript microservices and the event-driven architectures behind them, running on AWS and GCP with the DevOps discipline that keeps them reliable in production — Kubernetes, Terraform, CI/CD, PostgreSQL, and solid observability. Over the years I've led monolith-to-microservices redesigns, on-prem-to-cloud migrations, and reliability and cost-reduction work that showed up directly on the balance sheet, for teams including Rewe, Kühne+Nagel, and RTL. Most recently I've been working on the backend of AI-powered products, from high-volume image processing to LLM API integration, where the real engineering challenge is the distributed-systems work around the model rather than the model itself. I work fully remotely, I care about clean, maintainable systems over hype, and I'm at my best turning ambiguous requirements into production software that holds up under real load.
REVIEWS FROM CLIENTS
Enao Vision, a platform that uses mobile phones to capture images of conveyor belts in factory environments and detect produc...
Enao Vision, a platform that uses mobile phones to capture images of conveyor belts in factory environments and detect product defects through AI analysis. Contributed to the microservices ecosystem built with Java, Spring Boot, and PostgreSQL.
Key contributions:
- Developed critical microservices for high-volume image processing
- Implemented RESTful API endpoints for mobile integration
- Built AWS messaging architecture using SNS and SQS for event-driven communication
- Utilized Terraform to provision and manage AWS infrastructure
- Optimized database queries to handle substantial request volumes
- Refined queue polling mechanisms for reliable message processing at scale
- Helped establish a stable production environment
● Successfully migrated an application from Amazon Web Services to Google Cloud Platform to enhance scalability and cost efficiency.<...
● Successfully migrated an application from Amazon Web Services to Google Cloud Platform to enhance scalability and cost efficiency.
● Maintain API and integration with OpenAI
● Containerized applications using Cloud Run and replaced AWS services (Cognito, S3, SQS, Lambda) with GCP equivalents (Firebase
Auth, Cloud Storage, Pub/Sub, Cloud Run).
● Optimized infrastructure with Terraform to implement Infrastructure as Code (IaC) for consistent and automated deployments.
● Improved development processes by setting up separate local, hybrid, and production environments, along with optimized CI/CD
pipelines.
● Enhanced security through VPC integration, strict role management, and controlled database access.
● Implemented centraliz
eveloped REST APIs using Java/Spring Boot and frontend components with NodeJs/Angular, enhancing service reliability and
front-e...
eveloped REST APIs using Java/Spring Boot and frontend components with NodeJs/Angular, enhancing service reliability and
front-end responsiveness.
● Maintained and optimized CI/CD and infrastructure as code using Terraform, ensuring efficient deployment and enhanced stability..
● Refined, designed, and implemented new features within a Scrum team, supporting faster delivery by adhering to Agile processes.
● Led the migration of on-prem Kubernetes clusters to GCP Cloud Services and Functions, enabling scalable and cost-effective cloud
infrastructure.
● Spearheaded redesign of a monolithic application into domain-driven microservices, improving system modularity and supporting
faster development cycles..
● Established and enhanced monitoring, notification, and alerting systems using GCP Services, improving issue detection and response
efficiency.
● Optimized build and deployment pipelines in GitLabCI, facilitating continuous integration and streamlined deployments.
● Set up and promoted quality gates, mentoring junior team members to improve code quality and adherence to best practices,